Guidebook on Machine Learning Techniques for Road Quality Monitoring

<p>This publication highlights opportunities to harness geospatial data and machine learning algorithms to monitor rural roads efficiently to support connectivity. </p><p></p><p>Resilient all-weather roads enable crucial access to services and economic opportunities yet assessing and monitoring road quality can be costly and time-consuming. This publication explains how smartphones open-source satellite imagery and artificial intelligence can be used to augment traditional surveys to improve road data in cost-effective and efficient ways. It draws on a study developed in collaboration with the World Data Lab and the governments of the Philippines and Thailand supported by the Japan Fund for Prosperous and Resilient Asia and the Pacific.</p>